Technology Solutions

Choose from our curated catalog of select Open Source & leading commercial products to accelerate launch of new initiatives and modernization of existing systems.
At CloudGeometry, we've completed hundreds of migrations and application modernization projects, so we're well-versed in solving for rising costs and evolving technology and helping clients choose solutions that prevent needless vendor lock-in. We'll help you find the right technology for your business goals and budget, and we'll integrate the right tools with your Software Development and IT processes, all backed by a complete portfolio of ongoing application development and full-stack support services.
CloudGeometry partners with leading cloud platforms & technology providers, and contributes to popular open source projects.
Cloud Native Computing Foundation — CNCF
Linux Foundation AI & Data Generative AI Commons
MLflow — ML and GenAI

Application Modernization

Our client projects often involve updating existing systems from bare metal or virtualized architectures to a cloud-native architecture. We leverage the newest AI-powered tools and techniques to beyond simply rehosting and re-platforming, automating API transitions, containerization and source code transcribing.
CGDevX, our in-house open-source project, facilitates Kubernetes adoption by streamlining deployment and workflow management and providing cloud-native tools for production workloads. CGDevX establishes an internal developer platform for fast, reliable extension of applications with new features.
Rehost and Replatform to AWS, Azure, GCP
Kubernetes adoption Containerization
APIs transformation and integrations with new services
Move to SaaS architecture, business and support model
Security upgrade & compliance readiness
User Experience (UX) upgrade for Web & Mobile apps

Cloud Migrations

To and between major cloud providers; assessing multi-cloud architecture options.

Servers / VMs / Services Migration

Migrating one service, Virtual Machine (VM), or entire physical server running one or more workloads.

AWS Application Migration Service

Google Cloud Migration

Azure Migrate

Offer basic migrations capabilities

Hystax Acura

Hystax Acura offers an open-source solution for migrating from bare metal or on-premises virtualization to any cloud, as well as between clouds.
CloudGeometry actively contributes and provides complete support services for Hystax Acura.

Database and Data migrations

To fully managed database services.

AWS Database Migration

Google Cloud Database Migration Service

Azure Migrate

Azure Data Migration Services

Often the default de-facto standard option for migrating from Oracle, Postgres, MySQL and MariaDB to AWS RDS, Aurora, Azure Database or GCP Cloud SQL.

Cloud Native Workload management

Workloads should use cloud-native orchestration solutions to fully benefit from cloud elasticity and fully leverage the as-a-service model.


Includes simple conversion of VMs to containers or repackaging services as Docker/ContainerD images (among other alternatives) to support modern cloud-native orchestration.

Containerized Data Importer

Enables automated conversion to Kubernetes-compatible formats that work well in standard cases. For complex applications, our team uses AI-powered API and code translation tools to accelerate the transition process.

Kubernetes Platform

De facto industry standard providing organizations with:
Flexibility to scale quickly with business demand
Improved availability and reliability via self healing capabilities
Increased DevOps efficiency for large-scale microservices-based workloads and architectures


A great starting point when your application still runs on virtualization platforms like VMware, but you want the benefits of Kubernetes orchestration such as scaling or a service mesh. Allows you to take advantage of modern approaches like GitOps and Kubernetes's highly scalable and dynamic nature as you modernize your workload using practices like the 12-factor app methodology.


Open Source
CGDevX is our in-house tool that accelerates Kubernetes adoption by simplifying the process of moving to a cloud-native architecture. This deployment and management tool is built on open-source technology and uses pro-built templates to enable developers to deploy cloud-native applications as soon as they're ready.

App modernization

API translation & orchestration

A non-invasive technique allowing integration of “legacy” applications with modern systems by building facades for existing APIs or creating totally new ones.


Open Source
Implements the API Gateway pattern and serves as a proxy while also providing a powerful engine that can transform, aggregate, or remove data from API calls. Makes your legacy application available for integration with internal and external services without rewriting your code. Also enables implementation of the backend for frontend and micro-front-end patterns to build modern UIs on top of existing backend services.

KrakenD Enterprise

Provides support plus additional functionality through plugins such as Regex URL Rewrite, Static File Server, Virtualhosts, GeoIP, and API-Key Authentication. It also automatically generates API documentation and offers observability and analytics for APIs.


Open Source
When API transformation is not enough or your legacy system doesn’t provide APIs, you can quickly build them with OpenLegacy. It leverages an AI assistant to analyze the legacy system, identify integration points, and create and document APIs. A set of existing connectors allows you to provide integration in a low-code/no-code way.

Refactoring and re-architecture

Includes a move to microservices, SaaS enablement, and code conversion to new programming languages and environments.


Helps you keep your code dependencies up to date and reduce associated security risks by continuously analyzing repositories and introducing PRs that automatically upgrade dependencies' versions. It can also automatically merge PRs based on confidence scores.


Open Source
Automated AI-powered code refactoring system. Actions run by the system are defined as recipes and can be reapplied to multiple repositories, saving time on a wide range of operations from framework and language version upgrades to applying random suffixes to S3 buckets in your terraform code, and more. It’s open source and can be extended per your needs.


Provides a commercial version of OpenRewrite as part of an automated code collaboration, refactoring, and analysis platform with additional features like Application Security, AI-powered code quality, and standardization.


A toolkit to streamline modernization of large-scale Java applications to Kubernetes. It helps to assess the workload and identify risks; automatically evaluate required changes to the application; detect dependencies on data stores and distributed transactions; and prioritize and track refactoring and upgrade tasks.

AI & Data

AI initiatives fundamentally start as data projects. Data serves as the bedrock of artificial intelligence, supplying all the input elements for machine learning models to continuously create critical insights and expose patterns you can then use to make predictions.
CloudGeometry offers a range of technologies, solutions, and certified professionals that help you quickly normalize your business data from multiple sources, select the right pre-trained model, tune it for your business case, and productize your new AI-powered apps with a versatile and feature-rich MLOps platform.
Next day AI experiments with Claritype
Pretrained models for most industries and use cases
Integration with the rest of your software infrastructure
Experts who know how to help get the most out of your data
Training and support so you can get the maximum benefit from your AI/ML projects

Data Engineering

Building and optimizing data pipelines; integrating data from multiple sources for analysis and machine learning.

Data Analysis and Planning

Evaluating data needed by AI models, planning data collection, selecting storage technologies, and establishing an update strategy.
Claritype is the first AI enabled data modeling platform for Databricks


Saves 80%+ time for Analytics and AI projects, by providing advanced capabilities that enable a company to leverage industry-specific universal schemas and start AI experimentation by Day 2, bypassing the need for complex and time-consuming mapping analysis of the data scattered across ERP and Analytics systems.
Once the AI models are defined and the business benefits are confirmed, the exact data requirements for the models will be specified. Claritype technology then analyzes the company data, identifies gaps with the universal model, and helps set up data pipelines.

Data Acquisition & Pipelines

Processes and technologies for acquiring data from multiple systems, cleaning, processing, and storing it in schemas and standards suitable for AI model use.


TensorFlow Extended

MLflow — ML and GenAI



Open Source
Provides a way to easily string together operations on a dataset into a coherent pipeline. These open-source tools make it possible to consistently perform the same cleaning and preprocessing actions on both the training and inference data.

Apache Spark

Open Source
Popular and stable OpenSource framework for large-scale data processing.

Data Storage

Secure vault for the information that fuels your intelligent models. It provides the foundation for growth, ensuring your AI has the data it needs to perform at its best.

Databricks Delta Lake

Snowflake CDP

Widely used data clouds featuring tools tailored for AI data storage. These platforms can run on major hyperscalers like AWS, Azure, and GCP, offering data lake solutions that meet most data acquisition, processing, and storage needs.

Features stores such as Feast and Hopsworks store cleaned, modified and created data so that it's ready for evaluation, improving the performance and accuracy of your model.

Model Development & Training

Model Selection

Pre-trained models for industry-specific use cases, standards and protocols.

IBM Watson

Salesforce Einstein

Google Cloud's AutoML

Offer customized solutions designed to meet the specific needs of various industries. These platforms provide advanced capabilities for developing and deploying industry-specific AI models, with quick RAG enrichment, tuning and optimal performance.
Cloud Native Computing Foundation — CNCF

Linux Foundation

Open Source
We also use and follow updates for OpenSource industry-specific models. New models are coming daily for most general use cases and protocols, and we make it our business to keep up with them.

We are deeply involved in the Linux Foundation AI & Data Generative AI Commons, and through our chairmanship of the Models and Data workstream, we are deeply involved in the Model Openness Framework (MOF) and Model Openness Tool (MOT). The MOT enables you to know immediately what it is you're actually getting and whether a supposedly open source model actually is open source, or whether it is instead an example of "openwashing."

AI/ML Models Development

Developing machine learning models using leading frameworks.




Developing AI models requires a robust framework. These tools perform efficiently and effectively in production and are often the default choice for developers due to their extensive support and robust capabilities.

Generative AI

Developing and deploying advanced generative models; leveraging AI to create content, art, and interactive experiences.
CloudGeometry continuously reviews new updates and compares both open-source and commercial LLM options for each business case.

Llama 3




Stable Diffusion

Prominent open-source tools for building and deploying generative AI models.


Amazon Bedrock


Offer comprehensive commercial platforms for generative AI apps. These platforms are often preferred by enterprises seeking to harness the full potential of generative AI for their business needs.

MLOps Tools

Implement and manage machine learning workflows; ensure model reproducibility, versioning, and monitoring in production environments.

Model Deployment & Management

Ensuring a stable production deployment, with ongoing measurement and enhancement of model performance and scalability through continuous tuning and improvements.


MLflow — ML and GenAI



Widely used open-source tools that facilitate various aspects of the MLOps lifecycle, including experiment tracking, model deployment, and orchestration. CloudGeometry actively contributes to and fully supports these open-source projects, ensuring smooth and efficient workflows.


Weights and Biases

Offer robust commercial platforms that provide extensive capabilities for managing and scaling machine learning operations.

Cloud Cost Management

As FinOps-certified experts, we use leading industry open-source and commercial tools to optimize infrastructure costs across all major hyperscalers, Kubernetes clusters, and MLOps workloads.
Many robust products provide cost management solutions, focusing on optimizing cloud services or Kubernetes clusters.
Multi-Cloud strategies: AWS, Azure, GCP and Kubernetes Hosting
Reserved capacity savings
Consulting Partners discounts and programs
Migration assessments and future cost evaluation
In depth spent analytics of Kubernetes workloads
Open Source solutions with CloudGeometry professional support

Cost Observability

Usage & Cost monitoring, analysis, predictions, budgets and quota.

Cloud Services

AWS / Azure / Google Cloud resource, cost management, & optimization.


Provides visibility into cloud costs and usage with budgets, alerts, and actions.

Datadog Cloud Cost Management

An extension of the Datadog Observability platform, it correlates cost data with operational metrics. It's multi-cloud and can also be used for Kubernetes.


Has been on the market for a long time and remains a strong choice for complex enterprises with multiple clouds. It offers automation capabilities and resource utilization calculations.
AWS logo

AWS cloud intelligence dashboards

This FinOps-approved AWS initiative, formerly known as CUDOS and now part of the Cloud Intelligence Dashboard, provides powerful visualizations. With some customization, it can perform magic, including multi-cloud capabilities.

Kubernetes Workloads

Container orchestration adds an extra abstraction layer, and its highly dynamic and elastic runtime environment requires specialized tools for accurate cost calculation and attribution.
CloudGeometry supports Kubecost CGDevX


Provides real-time insights into Kubernetes spending, including network traffic that many tools miss, and cost-saving recommendations. Allows for custom spend categories that combine both Kubernetes and cloud costs.


Also adds limited cost observability to introspect Kubernetes with more limited metrics set (CPU, GPU, memory) and can serve as all-in-one solution when Kubernetes environment is less dynamic.


Open Source
Multi-cloud cost metrics solution, whose reporting capabilities can be extended by exporting metrics to Prometheus and visualizing them with Grafana.
CloudGeometry's CGDevX toolkit integrates the OpenSource OpenCost tool for simplified deployment.

Cost Optimization

Optimize cloud infrastructure costs through continuous cost optimization, rightsizing, and lifecycle control.

Cloud Services

AWS / Azure / Google Cloud resource, cost management, & optimization.



Provides instance sizing recommendations based on existing Reserved Instances, Savings Plans, and Spot availability, along with advice on optimizing Reserved Instances and Savings Plan coverage.

Cloud Custodian

Open Source
A multi-purpose, cloud-agnostic automation engine, it can be used for automated cleanups of orphaned resources based on utilization metrics, VM off-hours scheduling, and more.

Kubernetes Workloads

Container orchestration adds an extra abstraction layer, as a highly dynamic and elastic runtime environment requires specialized tools for accurate cost calculation and attribution.


A multi-cluster and multi-cloud solution for continuous cost optimization primarily focused on analyzing and recommending resource limits, Providing automatic adjustments.

Extends continuous Kubernetes resource management capabilities by automating instance selection, rightsizing, and dynamic cluster rebalancing.


Open Source
Recommendations can be applied to optimize Kubernetes cluster utilization. This manual process is only suitable for small-scale deployments with predictable load patterns.


Enhances reading of Kubernetes Vertical Pod Autoscaler (VPA) data, offering insights on pod resource consumption and rightsizing.

Compute Fleet Management

Cloud Services

AWS / Azure / Google Cloud resource, cost management, & optimization.

A multi-purpose solution, its core function remains managing compute infrastructure for scale-out scenarios. It tracks and scores the spot instance market by type, using these scores, RIs, and savings plans to select the cheapest option for organizations.

Kubernetes Workloads

Container orchestration adds an extra abstraction layer, as its highly dynamic and elastic runtime environment requires specialized tools for accurate cost calculation and attribution.


Open Source
Analyzes application load, scheduling, and resource requirements. It automatically removes under-utilized nodes, replaces expensive nodes with cheaper alternatives, and consolidates workloads onto more efficient compute resources.


Cloud Services

AWS / Azure / Google Cloud resource, cost management, & optimization.



Both provide tagging/labeling strategy, governance, and other compliance checks extending into the security domain.
nOps can also automatically generate continuous Well-Architected Framework reviews.

Kubernetes Workloads

Container orchestration adds an extra abstraction layer, as a highly dynamic and elastic runtime environment requires specialized tools for accurate cost calculation and attribution.
CloudGeometry supports Kyverno CGDevX


Open Source
As a policy engine primarily focused on security, it can also indirectly reduce cloud infrastructure costs by preventing the provisioning of resources without labels and resource limits, ensuring other Kubernetes cost management tools function correctly.


CloudGeometry offers a full-spectrum security program, from DevSecOps and Data Loss Prevention through to Kubernetes, multi-cloud, and MLOps security. We help you secure specific cloud infrastructure or application components, and prepare your systems for compliance with security standards like PCI, HIPAA, GDPR, and more.
We collaborate with Palo Alto Networks and Aqua Security, the leading providers of comprehensive security solutions, and can offer real-world hands-on experience with a range of mission-specific commercial and open-source products. Based on your objectives and budget, our security architects can readily design a customized proposal tailored to your needs.
Expert guidance in selecting security products and solutions
Wide range of  leading platforms PANW / Aqua / Wiz, and OpenSource products run within your cloud infrastructure
Multi-Cloud Environment protection beyond CSPM
Comprehensive DevSecOps across all layers of the software supply chain
Secret Managements for machines, nodes, processes, and humans
Kubernetes clusters, nodes and containers security
Data lifecycles and MLSecOps with DSPM & DLP
Automated compliance for instant ISO / PCI / FedRamp / HIPPA / SOC2 certification


DevSecOps bridges the gap between development, security, and operations teams by integrating security practices throughout the Software Development Life Cycle (SDLC).  This is achieved through Supply Chain Security, vulnerability scanning within the CI/CD pipeline and comprehensive Container Security, which enables early identification and remediation of security weaknesses ahead of code deployment.

Supply Chain Security

Treats the entire software development process as an interconnected web, securing every stage from components to vendors to delivery. This includes identifying vulnerabilities, preventing malicious tampering, and ensuring license compliance for all included software.

PA Prisma Cloud

Offers the most comprehensive view, mapping the entire chain from infrastructure code to running applications. It scans for vulnerabilities in all components, identifying potential risks throughout the development pipeline.

OX Security

Prioritizes vulnerabilities within the supply chain using their OSC&R framework, helping developers focus on critical issues impacting their applications.

Aqua Security

Secures containerized applications; scans container registries for vulnerabilities, ensuring secure components enter the supply chain.


Specializes in open-source libraries; identifies vulnerabilities within these libraries, mitigating risks introduced by external dependencies.


Open Source
Finds vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds, and more.


Open Source
Searches code repositories for secrets like passwords, API keys, and tokens that might have been accidentally committed; helps developers identify and remove these secrets before code is deployed.

CI/CD Security

Automates security scans throughout the CI/CD workflow, from code commit to deployment. These scans, like SAST and DAST, identify vulnerabilities early on, preventing them from reaching production and compromising your applications.

PA Prisma Cloud

Integrates with CI/CD tools to scan code for vulnerabilities and misconfigurations early in development; offers a broad view, ensuring secure code enters the pipeline.

OX Security

Focuses on Active Security Posture Management (ASPM) within CI/CD, continuously monitoring code throughout the pipeline for vulnerabilities and automating remediation.


Emphasizes runtime security within CI/CD. It goes beyond scanning by offering inline prevention, and actively stopping threats during the deployment process.


Open Source
For static code analysis, identifies bugs, poor coding practices, and potential security vulnerabilities within the code itself; integrates with CI/CD pipelines to analyze code as developers commit changes. SonarQube acts as a gatekeeper at the code level, ensuring secure coding practices from the beginning.


Open Source
Scans container images throughout the CI/CD pipeline, identifying vulnerabilities in open-source libraries and other dependencies used to build containers. It integrates with container registries to enforce security policies; can block images with critical vulnerabilities from entering the supply chain.

Container Security

Extending beyond just securing containerized applications, it acts as a security shield throughout the entire container lifecycle. This includes safeguarding the container image during build, protecting the container runtime environment, and securing the container network during execution, ensuring a holistic approach to container security.

PA Prisma Cloud

Aqua Security

Provide broad container security. PA Prisma Cloud scans container images for vulnerabilities during CI/CD and monitors container health post-deployment. Aqua Security excels in securing the entire container lifecycle, from image building to runtime protection.


Specializes in runtime container security. It continuously monitors container activity for threats and suspicious behavior, providing real-time protection.


Open Source
Comprehensive platform, providing vulnerability scanning, runtime protection, and compliance checks throughout the container lifecycle.

Cloud Environment Protection

CEP orchestrates a layered defense for cloud infrastructure. It utilizes IaC Security, automated configuration management and granular access controls to establish a secure foundation. CEP further bolsters security with data encryption, network segmentation, secrets management and continuous vulnerability scanning. By integrating CSPM and Kubernetes Security, CEP provides a comprehensive approach to safeguarding cloud environments.

Cloud Security Posture Management (CSPM)

CSPM functions as an automated security analyst for your cloud environment. It leverages security best practices and compliance frameworks to continuously assess your cloud configuration, identify security weaknesses, and prioritize potential risks, allowing you to address them before they become exploits.

PA Prisma Cloud

Provides a comprehensive CSPM platform, encompassing workload and container security, cloud resource configuration monitoring, and compliance checks. It offers a unified view of your entire cloud environment.


Focuses on cloud infrastructure security; identifies misconfigurations and vulnerabilities across cloud resources (storage, compute, network) and helps ensure adherence to security best practices.

Aqua Security

Specializes in container security, but also offers CSPM features like cloud workload protection and configuration management. It caters to organizations heavily invested in containerized applications.

Tenable Cloud

Scans cloud environments for vulnerabilities in configurations, assets, and identities. It integrates well with other Tenable products for a more extensive security posture view.

Cloud Custodian

Open Source
Comprehensive platform with built-in policy engine. It allows you to define custom security policies and continuously monitor your cloud environment for compliance. It integrates with various cloud providers and offers remediation capabilities.


Open Source
Security tool that performs Cloud and Kubernetes security best practices assessments, audits, incident response, continuous monitoring, hardening and forensics readiness, along with remediations. It excels at quick assessments and offers reports in various formats.

Secrets Management

Acts as a secure vault for critical credentials like API keys, passwords, and certificates. It centralizes storage, enforces access controls, and automates lifecycle management (rotation, expiration), ensuring only authorized applications and users can access sensitive data, minimizing the risk of exposure or misuse.
All solutions in this category offer secure storage, encryption, key management, plus access controls for secrets like API keys, passwords, and certificates. They integrate with a variety of applications and tools to manage seamless access to secrets.


Emphasizes ease of use and rapid deployment. It offers a cloud-native SaaS model and pre-built integrations with popular DevOps tools, cloud providers, and security platforms. Akeyless platform also provides Secure Remote Access, KMS, and other solutions.

HashiCorp Vault

Known for its strong security features and granular access control; caters to complex enterprise environments and integrates well with other HashiCorp products.


Open Source
Focuses on user-centric security and zero-knowledge architecture. It keeps user encryption keys entirely on client devices, enhancing user control over secrets.


Open Source
Password manager that can be used to store personal and business secrets securely. Available as a SaaS subscription service with individual and enterprise plans with a variety of features.

Kubernetes Security

Focuses on securing the entire Kubernetes cluster, from the control plane to the worker nodes: hardening the control plane with access controls and encryption, enforcing network policies between pods, and maintaining the security of the container runtime environment. By securing each layer, you create a robust defense against attacks targeting your Kubernetes deployments.


Concentrates on runtime threat detection within Kubernetes. It continuously monitors workloads for malicious activity, offering real-time protection against attacks specifically targeting Kubernetes deployments.


Open Source
Acts as a runtime security policy enforcement engine for Kubernetes clusters. It enforces predefined security policies at the pod level, preventing unauthorized actions and potential exploits within the cluster.


Open Source
Provides a comprehensive container security platform that integrates with Kubernetes. It scans container images for vulnerabilities, detects threats at runtime within Kubernetes environments, and offers compliance checks throughout the container lifecycle.



Open Source
Tools focused on network security for Kubernetes clusters. Calico offers a policy-based approach to control network traffic, while Cilium utilizes eBPF technology for more granular in-kernel enforcement of network security policies within Kubernetes.

IaC Security

IaC Security doesn't focus on securing the infrastructure itself, but rather the code that defines it (Infrastructure as Code). It employs static analysis tools to identify misconfigurations and potential security vulnerabilities within your IaC scripts. By catching these issues early, you can ensure your infrastructure is provisioned securely and minimizes the risk of creating exploitable weaknesses.


Scans infrastructure code templates (Terraform, CloudFormation) for vulnerabilities, misconfigurations, and security best practice violations. It offers a wide range of predefined policies and can automatically suggest fixes for identified vulnerabilities.

PA Prisma Cloud

Broad CSPM platform that includes IaC security; scans infrastructure code for vulnerabilities and misconfigurations, aligning with overall cloud security posture.


Focuses on runtime security within CI/CD pipelines, including IaC. It can block deployments built from vulnerable IaC and offers additional runtime protection for IaC-provisioned infrastructure.

Tenable Cloud


Beyond IaC security, offer broader CSPM functionalities; scan IaC for misconfigurations and also assess overall security posture of your cloud environment.


Open Source
Policy-as-code approach allows users to define custom security policies alongside their IaC templates, enabling highly granular control over security checks.

Vulnerability Management

Is a continuous process of identifying, classifying, prioritizing, and remediating security weaknesses in your systems and applications. It involves a combination of automated vulnerability scanning tools, threat intelligence feeds, and manual security assessments.

PA Prisma Cloud

Broad CSPM platform that includes vulnerability management. It scans cloud resources, containers, and workloads for vulnerabilities, providing a centralized view.

Tenable Nessus

Commercial vulnerability scanner that identifies vulnerabilities in operating systems, applications, and devices. It offers extensive coverage and advanced features. Nessus is the de-facto standard in Vulnerability Scanning.


Open Source
Vulnerability scanner that excels at identifying vulnerabilities in web applications through a unique templating system.


Open Source
Vulnerability scanner focused on network infrastructure devices.


Open Source
Vulnerability scanner addresses a broader range of targets like operating systems and applications, similar to commercial scanners.

Data Lifecycle Protection & MLOps Security

Data security requires a multifaceted approach to safeguarding sensitive information throughout the data lifecycle. DLP acts as a first line of defense, employing data discovery, classification, and access control mechanisms to prevent unauthorized exfiltration of sensitive data. DSPM complements DLP with a broader perspective. It utilizes automated tools to continuously monitor data storage, access patterns, and user activity across the organization's cloud infrastructure, identifying and mitigating potential security risks, to ensure comprehensive data protection.

Data-Leak Prevention (DLP)

Monitors and controls data movement across your network, endpoints, and cloud environments. By setting DLP policies, you can identify and prevent unauthorized data exfiltration through activities like emailing customer records, copying trade secrets to USB drives, or uploading sensitive data to unauthorized cloud storage.

PA Prisma Cloud

Offers DLP as part of its broad CSPM platform. It focuses on cloud data security, preventing sensitive information leakage from cloud storage and applications.



Specialize in DLP. They monitor and control data movement across your entire IT infrastructure, including cloud, endpoints, and on-premises systems. They offer features like data encryption, access controls, and anomaly detection to prevent unauthorized data exfiltration.

CrowdStrike Falcon

Couples endpoint security with DLP capabilities. It focuses on preventing data breaches by monitoring endpoint activity and user behavior for suspicious data exfiltration attempts.

Data Security Posture Management (DSPM)

Takes a holistic approach, analyzing your data landscape to identify sensitive data types, assess data security risks, and ensure compliance with regulations.

PA Prisma Cloud (Dig Security)

Specifically designed for DSPM; integrates seamlessly with the broader Prisma Cloud platform for a unified security posture. Its comprehensive scope encompasses cloud, endpoint, and workload security within one DSPM solution.


Excels in user behavior analytics, data access controls, and user behavior analytics. Traditionally focused on on-premise data security, although with a strong Cloud solution.

Tenable Cloud (Eureka)

Mainly endpoint data security and incident response. It mostly focuses on on-premises and endpoint data security.

Machine Learning Security Operations (MLSecOps)

Integrates security measures throughout the process, from data ingestion to model deployment.  This includes securing data pipelines to prevent data poisoning, implementing access controls to safeguard models and training data, and continuously monitoring for potential biases or vulnerabilities in deployed models.

Protect AI

Comprehensive MLSecOps system that detects adversarial attacks, data leakage, and integrity breaches in machine learning models. It also monitors model usage and enforces access controls to ensure responsible AI practices; can help in analyzing models to understand their decision-making processes and identify potential biases.

LLM Guard (part of Protect AI platform)

Open Source
Can identify attempts to manipulate LLMs with malicious prompts. It prevents sensitive information from being revealed through LLM outputs and can filter out toxic or inappropriate content generated by LLMs.


Open Source
Focuses on detecting data poisoning and concept drift in machine learning models.


Open Source
Emphasizes explainability and fairness in machine learning models. It provides tools to analyze models for potential biases and helps improve their explainability.


Security compliance necessitates aligning an organization's security posture with established industry standards and regulations. This often involves implementing a comprehensive security framework, such as ISO 27001, which provides a structured approach to managing information security risks. Frameworks like SOC 2 or PCI DSS offer more specific requirements tailored to protecting sensitive data (SOC 2) or payment card information (PCI DSS).

Automated Compliance

Leveraging automation and orchestration tools, automated security compliance establishes a continuous security posture verification framework. This framework employs real-time security assessments and configuration management tools to identify and remediate deviations from predefined security baselines and industry regulations (e.g., PCI DSS, ISO 27001, SOC 2).

Offers broad compliance management across various frameworks, with a focus on streamlining evidence collection and demonstrating continuous compliance. It also offers an optional Risk Management Module for a more holistic view of security posture. Automatic evidence collection, compliance status reporting, alerting and continuous monitoring are included.


Focuses on automating compliance for security and privacy frameworks like SOC 2, HIPAA, and GDPR. It offers “Adaptive Automation” for creating custom security control tests. Automatic evidence collection, compliance status reporting, alerting and continuous monitoring are included.


Open Source
Offers a technical approach to compliance automation. To achieve compliance according to frameworks including PCI DSS, FEDRAMP, USGCB, and more.